Convert traditional SQL ETL pipelines to PySpark and Spark SQL for cloud-native data engineering across Databricks, Amazon EMR, Azure Synapse Spark pools, and Microsoft Fabric.
Migrate Databricks PySpark notebooks, Delta Lake tables, Unity Catalog configurations, and MLflow pipelines to Fabric Lakehouse, Spark Notebooks, and OneLake. For teams standardizing on Microsoft Fabric as their unified analytics platform.
For enterprises consolidating onto the Microsoft stack. Migrate Snowflake SQL, Snowpipe ingestion, tasks, streams, and stored procedures to Fabric Warehouse T-SQL, Data Factory pipelines, and OneLake storage with equivalent security and governance controls.
Migrate on-premises SQL Server and Azure SQL databases to Microsoft Fabric. Convert T-SQL stored procedures, SSIS packages, SQL Agent jobs, and linked server dependencies to Fabric Warehouse, Data Factory pipelines, and Spark Notebooks.
Migrate Oracle PL/SQL packages, procedures, materialized views, and complex analytical queries to Fabric Warehouse T-SQL and Spark SQL. Resolves Oracle-specific constructs like CONNECT BY, MERGE, bulk collect, and partitioning schemes into Fabric-optimized equivalents.
Legacy SQL to PySpark / Spark SQL
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